Literature DB >> 33831179

Pleiotropic effects of telomere length loci with brain morphology and brain tissue expression.

Gita A Pathak1,2, Frank R Wendt1,2, Daniel F Levey1,2, Adam P Mecca1,3, Christopher H van Dyck1,3,4,5, Joel Gelernter1,2, Renato Polimanti1,2.   

Abstract

Several studies have reported association between leukocyte telomere length (LTL) and neuropsychiatric disorders. Although telomere length is affected by environmental factors, genetic variants in certain loci are strongly associated with LTL. Thus, we aimed to identify the genomic relationship between genetic variants of LTL with brain-based regulatory changes and brain volume. We tested genetic colocalization of seven and nine LTL loci in two ancestry groups, European (EUR) and East-Asian (EAS), respectively, with brain morphology measures for 101 T1-magnetic resonance imaging-based region of interests (n = 21 821). The posterior probability (>90%) was observed for 'fourth ventricle', 'gray matter' and 'cerebellar vermal lobules I-IV' volumes. We then tested causal relationship using LTL loci for gene and methylation expression. We found causal pleiotropy for gene (EAS = four genes; EUR = five genes) and methylation expression (EUR = 17 probes; EAS = 4 probes) of brain tissues (P ≤ 2.47 × 10-6). Integrating chromatin profiles with LTL-single nucleotide polymorphisms identified 45 genes (EUR) and 79 genes (EAS) (P ≤ 9.78×10-7). We found additional 38 LTL-genes using chromatin-based gene mapping for EUR ancestry population. Gene variants in three LTL-genes-GPR37, OBFC1 and RTEL1/RTEL1-TNFRSF6B-show convergent evidence of pleiotropy with brain morphology, gene and methylation expression and chromatin association. Mapping gene functions to drug-gene interactions, we identified process 'transmission across chemical synapses' (P < 2.78 × 10-4). This study provides evidence that genetic variants of LTL have pleiotropic roles with brain-based effects that could explain the phenotypic association of LTL with several neuropsychiatric traits.
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Year:  2021        PMID: 33831179      PMCID: PMC8255129          DOI: 10.1093/hmg/ddab102

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  58 in total

1.  Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk.

Authors:  Prashanth Rajarajan; Tyler Borrman; Will Liao; Nadine Schrode; Erin Flaherty; Charlize Casiño; Samuel Powell; Chittampalli Yashaswini; Elizabeth A LaMarca; Bibi Kassim; Behnam Javidfar; Sergio Espeso-Gil; Aiqun Li; Hyejung Won; Daniel H Geschwind; Seok-Man Ho; Matthew MacDonald; Gabriel E Hoffman; Panos Roussos; Bin Zhang; Chang-Gyu Hahn; Zhiping Weng; Kristen J Brennand; Schahram Akbarian
Journal:  Science       Date:  2018-12-14       Impact factor: 47.728

2.  Lrrc34, a novel nucleolar protein, interacts with npm1 and ncl and has an impact on pluripotent stem cells.

Authors:  Sandra Lührig; Iliana Siamishi; Marieke Tesmer-Wolf; Ulrich Zechner; Wolfgang Engel; Jessica Nolte
Journal:  Stem Cells Dev       Date:  2014-08-05       Impact factor: 3.272

3.  Comprehensive segmentation of subcortical brain volumes in early onset schizophrenia reveals limited structural abnormalities.

Authors:  Monica Juuhl-Langseth; Lars M Rimol; Inge A Rasmussen; Rune Thormodsen; Aina Holmén; Kyrre E Emblem; Paulina Due-Tønnessen; Bjørn Rishovd Rund; Ingrid Agartz
Journal:  Psychiatry Res       Date:  2012-08-21       Impact factor: 3.222

Review 4.  Cerebrospinal fluid stasis and its clinical significance.

Authors:  James M Whedon; Donald Glassey
Journal:  Altern Ther Health Med       Date:  2009 May-Jun       Impact factor: 1.305

5.  Cerebellar gray matter and lobular volumes correlate with core autism symptoms.

Authors:  Anila M D'Mello; Deana Crocetti; Stewart H Mostofsky; Catherine J Stoodley
Journal:  Neuroimage Clin       Date:  2015-02-20       Impact factor: 4.881

6.  DGIdb: mining the druggable genome.

Authors:  Malachi Griffith; Obi L Griffith; Adam C Coffman; James V Weible; Josh F McMichael; Nicholas C Spies; James Koval; Indraniel Das; Matthew B Callaway; James M Eldred; Christopher A Miller; Janakiraman Subramanian; Ramaswamy Govindan; Runjun D Kumar; Ron Bose; Li Ding; Jason R Walker; David E Larson; David J Dooling; Scott M Smith; Timothy J Ley; Elaine R Mardis; Richard K Wilson
Journal:  Nat Methods       Date:  2013-10-13       Impact factor: 28.547

Review 7.  Astrocyte senescence: Evidence and significance.

Authors:  Justin Cohen; Claudio Torres
Journal:  Aging Cell       Date:  2019-02-27       Impact factor: 9.304

8.  Loci for human leukocyte telomere length in the Singaporean Chinese population and trans-ethnic genetic studies.

Authors:  Rajkumar Dorajoo; Xuling Chang; Resham Lal Gurung; Zheng Li; Ling Wang; Renwei Wang; Kenneth B Beckman; Jennifer Adams-Haduch; Yiamunaa M; Sylvia Liu; Wee Yang Meah; Kar Seng Sim; Su Chi Lim; Yechiel Friedlander; Jianjun Liu; Rob M van Dam; Jian-Min Yuan; Woon-Puay Koh; Chiea Chuen Khor; Chew-Kiat Heng
Journal:  Nat Commun       Date:  2019-06-06       Impact factor: 14.919

9.  Peripheral Blood Leukocyte RNA-Seq Identifies a Set of Genes Related to Abnormal Psychomotor Behavior Characteristics in Patients with Schizophrenia.

Authors:  Yunqiao Zhang; Xu You; Siwu Li; Qing Long; Yun Zhu; Zhaowei Teng; Yong Zeng
Journal:  Med Sci Monit       Date:  2020-02-10

10.  A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles.

Authors:  Nancy Y A Sey; Benxia Hu; Won Mah; Harper Fauni; Jessica Caitlin McAfee; Prashanth Rajarajan; Kristen J Brennand; Schahram Akbarian; Hyejung Won
Journal:  Nat Neurosci       Date:  2020-03-09       Impact factor: 24.884

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  1 in total

Review 1.  Genetic, Environmental and Lifestyle Determinants of Accelerated Telomere Attrition as Contributors to Risk and Severity of Multiple Sclerosis.

Authors:  Michael Hecker; Jan Bühring; Brit Fitzner; Paulus Stefan Rommer; Uwe Klaus Zettl
Journal:  Biomolecules       Date:  2021-10-13
  1 in total

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